86 citations · 155 across the 9 of their papers we have counts for
10 papers
On the Feasibility and Robustness of Pointwise Evaluation of Query Performance Prediction
Suchana Datta, Debasis Ganguly, Derek Greene +1
Despite the retrieval effectiveness of queries being mutually independent of one another, the evaluation of query performance prediction (QPP) systems has been carried out by measu…
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction
Suchana Datta, Debasis Ganguly, Derek Greene +1
Motivated by the recent success of end-to-end deep neural models for ranking tasks, we present here a supervised end-to-end neural approach for query performance prediction (QPP).…
An Analysis of Variations in the Effectiveness of Query Performance Prediction
Debasis Ganguly, Suchana Datta, Mandar Mitra +1
A query performance predictor estimates the retrieval effectiveness of an IR system for a given query. An important characteristic of QPP evaluation is that, since the ground truth…
Tag Embedding Based Personalized Point Of Interest Recommendation System
Suraj Agrawal, Dwaipayan Roy, Mandar Mitra
Personalized Point of Interest recommendation is very helpful for satisfying users' needs at new places. In this article, we propose a tag embedding based method for Personalized R…
Re-evaluating the need for Modelling Term-Dependence in Text Classification Problems
Sounak Banerjee, Prasenjit Majumder, Mandar Mitra
A substantial amount of research has been carried out in developing machine learning algorithms that account for term dependence in text classification. These algorithms offer acce…
Representing Documents and Queries as Sets of Word Embedded Vectors for Information Retrieval
Dwaipayan Roy, Debasis Ganguly, Mandar Mitra +1
A major difficulty in applying word vector embeddings in IR is in devising an effective and efficient strategy for obtaining representations of compound units of text, such as whol…